Supplementary file 1_OncoPSM: an interactive tool for cost-effectiveness analysis using partitioned survival models in oncology trial.xlsx by Xulong Qiu (22123102)

“…</p>Methods<p>We extracted data from Kaplan-Meier (KM) curves, reconstructed individual patient data (IPD) using an iterative KM algorithm, and fitted parametric survival functions to the IPD data. …”

Table 2_Histone-related gene WDR77 promotes tumor progression through cell cycle regulation in skin cutaneous melanoma.xls by Haoxue Zhang (12208580)

“…</p>Conclusion<p>WDR77 serves as both a prognostic biomarker and functional regulator in melanoma, highlighting its potential as a therapeutic target.…”

Table 3_Histone-related gene WDR77 promotes tumor progression through cell cycle regulation in skin cutaneous melanoma.xlsx by Haoxue Zhang (12208580)

“…</p>Conclusion<p>WDR77 serves as both a prognostic biomarker and functional regulator in melanoma, highlighting its potential as a therapeutic target.…”

Table 1_Histone-related gene WDR77 promotes tumor progression through cell cycle regulation in skin cutaneous melanoma.xlsx by Haoxue Zhang (12208580)

“…</p>Conclusion<p>WDR77 serves as both a prognostic biomarker and functional regulator in melanoma, highlighting its potential as a therapeutic target.…”

Data Sheet 2_Histone-related gene WDR77 promotes tumor progression through cell cycle regulation in skin cutaneous melanoma.zip by Haoxue Zhang (12208580)

“…</p>Conclusion<p>WDR77 serves as both a prognostic biomarker and functional regulator in melanoma, highlighting its potential as a therapeutic target.…”

Data Sheet 1_Histone-related gene WDR77 promotes tumor progression through cell cycle regulation in skin cutaneous melanoma.zip by Haoxue Zhang (12208580)

“…</p>Conclusion<p>WDR77 serves as both a prognostic biomarker and functional regulator in melanoma, highlighting its potential as a therapeutic target.…”

Uncertainty and Novelty in Machine Learning by Derek Scott Prijatelj (20364288)

“…</p> <p>This work answers these questions through both theory and application. We provide a Bayesian evaluation framework for subjective tasks where different sources of uncertainty are considered and the truth itself is uncertain. …”

Particle swarm optimization method for energy management of the hybrid system of an electric vehicle charging station by Olukorede Adenuga (20139099)

“…The PSO provide the best value for uncertainty cost functions for both RESs and electric vehicle charging stations considering active power loss, reactive <a href="" target="_blank">power loss </a>operation cost, power flow, and voltage deviation in the thesis. …”

Supporting data for "Machine learning based prognosis prediction of intracerebral hemorrhage outcome". by Eunhye Yang (17853260)

“…To support timely clinical decision-making, numerous prognosis scoring systems have been established, yet no scores have been found to be accurate in predicting both mortality and morbidity. Therefore, using 957 spontaneous ICH patient samples provided by the University of Hong Kong stroke registry, this study aims to utilize machine learning (ML) tools to develop a prognosis system that effectively predicts six-month outcomes of both mortality and morbidity in ICH patients. …”

Graphical Abstract. by Michele Gentili (19865208)

“…Given a source of biological information, such as a PPI network or set of functional annotations, for every gene i and j (g_i,g_j) we extract the gene specific regularization vector <i>λ</i>_{<i>i</i>,<i>j</i>}, that contains the distance between gene g_i and g_j to all of the other genes, in our case the inverse of the personalized PageRank algorithm (more details in <b><a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011079#pcbi.1011079.s001" target="_blank">S1 Text</a></b>). …”

Data Sheet 1_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.csv by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Image 2_Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.jpeg by Ting Chen (15205)

“…</p>Results<p>The improved algorithm significantly outperformed other algorithms on 23 standard test functions. …”

Image 1_Machine learning-driven discovery of NETs-associated diagnostic biomarkers and molecular subtypes in tuberculosis.tif by Shoupeng Ding (21555394)

“…Among the ensemble of 113 machine learning methods, the “StepgIm[both]+RF” algorithm demonstrated superior performance, ultimately identifying six core NETs genes. …”

Data Sheet 4_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.pdf by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Table 2_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.xlsx by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Table1_Deletion of Mgat2 in spermatogonia blocks spermatogenesis.xlsx by Mohd Shamoon Asmat (19700998)

“…In addition, RNA-seq analysis at 15 days after birth revealed a unique transcriptomic landscape in Mgat2[−/−] germ cells with genes required for sperm formation and functions being most downregulated. Bioinformatic analyses using the ingenuity pathway analysis (IPA) algorithm identified ERK and AKT as central activities. …”

Image 3_Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.jpeg by Ting Chen (15205)

“…</p>Results<p>The improved algorithm significantly outperformed other algorithms on 23 standard test functions. …”

Data Sheet 2_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.pdf by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Data Sheet 3_Using AlphaFold-Multimer to study novel protein-protein interactions of predation essential hypothetical proteins in Bdellovibrio.zip by Ibukun John Abulude (21084308)

“…Hypothetical proteins with unestablished functions have been implicated in B. bacteriovorus predation by many studies. …”

Image 1_Construction and clinical visualization application of a predictive model for mortality risk in sepsis patients based on an improved machine learning model.jpeg by Ting Chen (15205)

“…</p>Results<p>The improved algorithm significantly outperformed other algorithms on 23 standard test functions. …”